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Author

Yun Wang

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Open access May 2025

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling

The Continual Diffusion Generation (CDG) is introduced, a structured pipeline that redefines how diffusion models are implemented under CL and enables systematic evaluation of GCF, and a principled training framework that fosters long-term retention of generative knowledge and stable integration of new capabilities.

Jingren Liu, Zhong Ji, Shuning Xu et al. · 2 citations
Preprint Jul 2026

ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU

This work progressively distill a bidirectional action-conditioned teacher into a causal student through teacher forcing and ODE distillation, and introduces LongForcing to align long student self-rollouts with an extended-horizon teacher, mitigating accumulated distribution shift and autoregressive drift.

Fan Jiang, Zhaoxu Sun, Mengchao Wang et al. · 6 citations

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